keywordbarrage/boots-scraper

Python Code:

import sqlite3
from datasets import load_dataset
import pandas as pd

# Method 1: Load via Hugging Face datasets library
dataset = load_dataset("daas-intelligence/enterprise-sku-depletion-telemetry")
print("Hub Sample Record:", dataset["train"][0])

# Method 2: Load zero-latency local pre-indexed SQLite deliverable
# Ideal for high-frequency quantitative modeling
conn = sqlite3.connect("enterprise_feed.sqlite")
df = pd.read_sql_query("""
    SELECT sku_id, price_usd, stock_level, depletion_velocity 
    FROM sku_stream 
    ORDER BY timestamp DESC LIMIT 10
""", conn)
print(df)

Dataset Card:

Executive Summary

This dataset provides a production-grade, high-frequency telemetry feed extracted from hardened e-commerce environments (specifically targeting the Boots retail architecture). Designed for CTOs, Hedge Funds, and E-Commerce Leaders, this feed solves the "brittle pipeline" problem caused by Imperva/Envoy-level WAF challenges. Delivered under a 1,500 USDT/month SLA Retainer, we guarantee 99.9% uptime, zero-maintenance, and protocol-level parity that bypasses standard bot-mitigation triggers.

Enterprise Deliverables Matrix

We provide four distinct formats optimized for diverse data engineering workflows:

1. Pre-indexed SQLite (.sqlite): Optimized for local sub-millisecond querying; includes indices on sku_id and timestamp.
2. Snappy Parquet: Optimized for direct ingestion into Snowflake, Google BigQuery, and AWS Athena.
3. Zero-Dependency Offline DataGrid (.html): A self-contained, interactive viewer for business stakeholders to audit data without SQL knowledge.
4. CDC JSONL Stream: Change Data Capture format for triggering downstream RAG pipelines and vector database updates.

Dataset Schema

Column	Type	Nullable	Description
sku_id	STRING	No	Unique Boots product identifier / EAN.
timestamp	DATETIME	No	ISO-8601 ingestion timestamp.
price_usd	FLOAT	No	Real-time retail price (GBP converted).
stock_level	INTEGER	No	Current inventory count.
velocity_depletion_rate	FLOAT	Yes	Hourly rate of inventory change.
tls_ja4_signature	STRING	No	Fingerprint of the successful WAF bypass.
delivery_status	BOOLEAN	No	Verification of successful delivery to sink.

Sample Record (JSON)

{
  "sku_id": "BOOTS-77821-X",
  "timestamp": "2026-09-24T14:30:00Z",
  "price_usd": 14.99,
  "stock_level": 42,
  "velocity_depletion_rate": -1.2,
  "tls_ja4_signature": "1b22a33c44d55e66",
  "delivery_status": true
}

SLA & Compliance

• Availability: 99.9% uptime guaranteed under our 1,500 USDT/month SLA Retainer.
• Maintenance: Zero-maintenance burden; our engineering team handles all upstream WAF/Imperva updates.
• Transparency: No hidden proxy markups; data is delivered via direct, authenticated cloud-to-cloud ingestion.
• Ethics: This dataset is curated for market intelligence and quantitative research, adhering to strict data protection standards.

https://www.keywordbarrage.com/scrapers/boots-scraper.html

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📦 Turnkey 4-in-1 Data Delivery & Standalone Offline Viewers

Every dataset includes a pre-indexed SQLite DB, structured JSON, flat CSV, and our proprietary Zero-Dependency Interactive HTML DataGrid. Double-click to search, sort, and filter tens of thousands of records offline—zero SQL, zero SaaS subscriptions, and zero API keys required.

Live Interactive Deliverable Demos (No Setup Required):

• 📊 Universal Multi-Vendor Showcase — Live search, faceted multi-variant filtering & delta analytics.
• 🛍️ Shopify Direct-to-Consumer Grid — High-velocity catalog indexing & SKU tracking.
• 🎨 Etsy Marketplace Grid — Handmade seller taxonomy, real reviews & fee calculations.